Real-time Financial Services Analytics
Reduce mean time to answers (MTTA) with real-time analysis of financial data to reduce risk analysis intervals to seconds and turn fraud detection into fraud prevention.
Fast Fraud Analytics and Risk Analysis
Financial fraud detection requires monitoring billions of transactions, devices and users in real-time for suspect behaviors without false positives that alienate customers when service is denied in the middle of a foreign vacation or late night business event. Risk analysis with too long a delay can cost a company millions. thatDot brings risk analysis, fraud detection, and similar financial analytics to you in seconds or less.
Learn More about thatDot Fraud Detection
Use Cases
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Authentication Fraud
The Problem Metered attacks that generate low volume log-in attempts, from diverse IPs and across extended time frames, are designed to avoid the “3 strikes in 24 hours”…
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Financial Fraud Detection
The Problem Financial fraud detection requires monitoring billions of transactions, devices and users in real-time for suspect behaviors without false positives that alienate customers when service is denied…